Product Data Analyst ensuring data integrity for analytics at Budge Studios in Montreal. Responsible for data compilation, analysis, and reporting for decision - making.
About the role
- Data Analyst transforming data into insights for business decisions through full lifecycle analysis. Collaborating with management on data strategies and identifying process improvements.
Responsibilities
- Conduct full lifecycle analysis to include requirements, activities and design
- Monitor performance and quality control plans to identify improvements
- Manage databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Collect required data, analyze results using statistical techniques and provide ongoing reports
- Retrieve information from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Review computer reports, printouts, and performance indicators to locate and correct code problems
- Collaborate with management to prioritize business and information needs
- Find and evaluate new process improvement opportunities
Requirements
- 2+ years' experience of working on a Data Analyst or Business Data Analyst position
- Should have experience with reporting tools like Tableau and Power BI
- Should have hands on experience with Alteryx and DBT
- Significant experience of working with data models, database design development, data mining and segmentation techniques
- Excellent knowledge of statistics and experience using statistical packages for analyzing datasets, including Excel, SPSS, SAS and so on
- Good practical experience with reporting packages (e.g. Business Objects), databases (SQL etc), programming
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Good report writing and presenting skills
- BS degree in Mathematics, Economics, Computer Science, Information Management or Statistics
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